Systems & Networks · Computer Science & AI
Hardware Architecture
The newest papers in Hardware Architecture that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
200 papers, from 31 August 2026 to 5 November 2026: 184 arXiv preprints and 16 OpenAlex records.
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Energy Measurement and Optimization of TinyML in Resource-Constrained Embedded Systems: A Systematic Mapping Study
The rapid expansion of the Internet of Things (IoT) has increased the volume of data generated at the network edge, where many devices operate under severe memory, processing, and energy constraints.Rule-Guided and Trajectory-Aware Repair for LLM-Based HLS Generation
Large language models (LLMs) offer a promising path for directly generating functionally correct and synthesizable HLS-C from natural-language specifications.CAMP: Context-Aware Mapping and Placement for LLMs on 3D-IMC Arrays
Large Language Models (LLMs) incur severe memory-access overheads due to the cost of loading large weight matrices and key-value (KV) caches.MCUFlowNet: Hardware-Aware Neural Architecture Search for Optical Flow on Microcontrollers
Dense optical flow allows small drones to avoid obstacles.CHARM+: Cross-Hardware Attention with Re-Merge Multistream Mechanism
As sequence lengths continue to grow, distributed attention based on sequence parallel (e.g., Ring-Attention) has become a mainstream solution for large language models (LLMs).Hardwired Distributed Processing Units for Inference: Neural Decisions at the Sensor that Free the Host
We show that a hardwired distributed processing unit (HDPU) can take a neural decision at the sensor and so remove the inference from the host.FPTR: Feasibility-Preserving Transactional Refinement for Deadline-Constrained Joint Beam and Resource Allocation
Short-interval wireless schedulers must return a complete, feasible beam-and-resource allocation before each execution deadline, and a late or invalid output gives no utility in the current control…Enabling AWS Cloud FPGA Development Using High-Level Vitis HLS
We present a toolchain for development of ML models on AWS EC2 F2 cloud FPGA infrastructure from high-level language, implementing a complete Vitis HLS to HDK bridge to AFI workflow that has been…GC-MoE: Overlapping Expert-Parallel Token Dispatch with FP8/FP4 Grouped GEMM via CUDA Green Contexts
Under expert parallelism, mixture-of-experts (MoE) layers pay all-to-all token dispatch, grouped GEMMs, and a combine step in every layer.Deep Learning Compilers: Architecture, Optimization, and Empirical Characterization
As deep learning (DL) models become increasingly complex and hardware architectures grow more heterogeneous, DL compilers play a critical role in optimizing computational efficiency and enabling…Workload-Static Optical Circuit Switching For Scalable LLM Inference Decode
LLM inference decode executes fine-grained collectives whose latency directly limits per-user interactivity, yet scale-up fabrics are still built from electronic packet switches designed for training.DynaMite: Dynamic Measurement Scheduling To Accelerate Fault-Tolerant Quantum Programs
Fault-tolerant quantum computers run millions of logical cycles to perform quantum error correction (QEC).Scheduling Data to Compute: Hierarchical Data Pipelining for LLM Training on AMD GPUs
Large language models (LLM) have been the key focus of recent machine learning breakthroughs.Turbo-GMM: FlashAttention-Inspired GPU-Accelerated Gaussian Mixture Model
Expectation-maximization (EM) for Gaussian mixture models (GMMs) requires scoring $N$ data points against $K$ mixture components.A Study on the Effects of Finger Movements on a Humanoid Hugging Robot
This study aimed to examine the impact of finger movements in hugging robots on users by experimentally investigating how the presence and patterns of such movements affect users psychologically.Touching Projected Agents through the DAT Screen -System Design and Questions of Interaction Boundaries-
Touching a virtual agent involves more than detecting a finger on a display: the contact surface can deform and resist the user's push, and the agent can respond to that action.KlaskTron: An Open-Source Platform for Physical Adversarial Multi-Agent RL
Progress in robot learning, particularly physical multi-agent reinforcement learning (MARL), is currently challenged by a limited availability of accessible, standardized benchmarks.A Cross-Domain Matrix Engine for Signal Processing and Deep Neural Net Inference
Matrix multiplication dominates both PHY signal processing and Deep Neural Network (DNN) inference, yet these domains place opposing demands on the matrix engine.Unlocking Turing Tensor Cores: A Measured Throughput Account of From-Scratch Pre-training on a Single 22G RTX 2080 Ti
The RTX 2080 Ti (TU102) ships full second-generation Tensor Cores in hardware, yet the vendor throttles FP16 matrix multiplication at the driver level, leaving usable tensor throughput well below…A Surrogate Model for Variation-Aware Clock-Mesh Analysis and Design-Space Exploration using Graph Neural Networks
Clock meshes are widely used in high-performance VLSI systems to minimize skew and tolerate On-Chip Variation (OCV) in nanometer technologies.